Practice Exercises

Hands-on programming exercises to master each skill. Each exercise includes problem descriptions, templates, test cases, and solutions.

Practice designing functions with proper type annotations, docstrings, and test cases. Covers temperature conversion, string manipulation, and arithmetic operations.

Skills covered:

Type annotationsDocstringsTest casesBasic function design

Work with tables: creating them, filtering rows, building columns, and transforming data. Practice with student grades and restaurant data.

Skills covered:

Table creationfilter-withbuild-columntransform-column

Practice list iteration using for-each loops and mutable variables. Build functions that process lists element by element.

Skills covered:

for each loopsMutable variablesList processing

Define and use data types with multiple variants. Practice with cases expressions and conditional logic.

Skills covered:

data definitionscases expressionsConditional data

Implement recursive functions over lists. Master the base case and recursive case pattern.

Skills covered:

Recursive functionsList structureBase and recursive cases

Work with tree structures and implement recursive tree traversal algorithms.

Skills covered:

Tree structuresRecursive traversalTree algorithms

Understand Python's variable scoping rules, global vs local variables, and the global keyword.

Skills covered:

Variable scopeGlobal keywordFunction variables

Design Python functions with type hints, docstrings, and proper testing practices.

Skills covered:

Python functionsType hintsDocstringsTesting

Master Python's for loops, list comprehensions, and iteration patterns.

Skills covered:

Python loopsList comprehensionsIteration patterns

Understand Python's object references, aliasing effects, and how mutation works with shared data.

Skills covered:

Object referencesAliasingMutationShared data

Practice Exercises

Exercise 1: Basic Function Design (Pyret)

Exercise 2: Construct & Transform Tables (Pyret)

Exercise 3: Iteration: Lists (Pyret)

Exercise 4: Structured & Conditional Data (Pyret)

Exercise 5: Recursion: Lists (Pyret)

Exercise 6: Recursion: Trees (Pyret)

Exercise 7: Variable Scope (Pyret & Python)

Exercise 8: Design Basic Functions (Python)

Exercise 9: Iteration: Lists (Python)

Exercise 10: Aliasing & Mutation (Python)